About the Role
The ideal candidate will have deep expertise in Airbyte and data infrastructure, supporting scalable ETL workflows and ensuring reliable data movement across systems.
Responsibilities
- Design and deploy Airbyte connectors for diverse data sources
- Optimize data pipelines for performance and reliability
- Troubleshoot synchronization issues across data platforms
- Collaborate with engineers to integrate Airbyte into existing workflows
- Document configurations and operational procedures
- Monitor pipeline health and resolve failures promptly
- Ensure data accuracy and consistency across destinations
- Implement security best practices in data transfers
- Support schema evolution and data model changes
- Integrate Airbyte with orchestration tools like Airflow
- Assist in upgrading Airbyte instances and managing versions
- Provide technical guidance to team members on ETL patterns
- Evaluate new data sources for connector development
- Maintain high availability of critical data pipelines
- Contribute to infrastructure as code for deployment automation
- Participate in code reviews for data integration components
- Analyze data latency and propose improvements
- Work with stakeholders to define data requirements
- Ensure compliance with data governance policies
- Support testing and validation of new pipeline features
Nice to Have
- Contributions to Airbyte open-source projects
- Experience deploying Airbyte in Kubernetes environments
- Background in fintech or high-regulation industries
- Exposure to Terraform or similar IaC tools
- Prior work with large-scale data migration initiatives
Compensation
Competitive hourly rate
Work Arrangement
Remote
Team
Cross-functional engineering and data team
Tech Stack
Airbyte, Docker, Kubernetes, PostgreSQL, AWS, Git, Python, Airflow
Contract Duration
6-month contract with potential for extension based on project needs
Not available
